EquityPro: Building a Signal-to-Noise Filter for Indian Investors

The democratisation of India’s capital markets has created an unusual problem. Investors today can access company announcements, earnings calls, screeners, charts, financial ratios, expert commentary and breaking news within seconds. What they cannot access quite as easily is context. A number on a screen rarely explains whether a business is fundamentally improving, whether an industry cycle is turning, or whether a much-discussed IPO actually justifies its valuation.

EquityPro by RGX Research was conceived around precisely this distinction between having information and understanding it. Its premise is uncomplicated: the stock market does not need to be made more intimidating than it already is. Investors - from firsttime participants to experienced market professionals - need research that tells them what matters, why it matters and how different pieces of information fit together.

Rather than competing to produce another stream of market updates, EquityPro works across company research, sector analysis, IPO evaluation, valuation perspectives and investor education. Its objective is to create what the company describes as a 'signalto- noise filter' - turning raw financial information into structured understanding without diluting the rigour behind it.

Behind this approach is Ritesh Gokani, Founder & Managing Director of RGX Research, whose career spans more than a decade across trading, capital markets and team management. Having earlier worked with Dhwaja Shares & Securities, his years inside the markets exposed him to a persistent weakness: investors were surrounded by information but often lacked fundamentally driven, objective research they could interpret and act upon. That observation eventually moved him from participating in markets to building research infrastructure for others.

 

RGX Research plans to deepen its use of AI enabled analytics and alternative data, while developing more interactive digital products capable of making sophisticated research easier to navigate

Ritesh Gokani, Founder & Managing Director

Research that Answers the Next Question

A defining element of EquityPro’s methodology is what it calls the 'So What?' principle. Reporting that revenues increased, margins declined or an industry expanded is only the beginning. The research must explain why the change occurred, whether it is structural or temporary, and what it could mean for the economics and valuation of the business.

That thinking extends to the way EquityPro examines sectors. Understanding a stock begins with understanding the industry in which the company operates - its economics, competitive structure, growth drivers and vulnerabilities. Company-level numbers can then be viewed within the larger business context rather than interpreted in isolation.

The same discipline applies to IPOs and established businesses. Instead of allowing market excitement around a new listing to alter the analytical lens, EquityPro uses consistent parameters around business quality, governance, cash generation and valuation.

Importantly, rigour does not translate into deliberately complicated communication. Research is layered so that a fresher can begin with a jargon- free interpretation, while an experienced investor can move deeper into the underlying data and valuation framework. The intention is not simply to tell people what to think about a stock, but progressively improve how they think about businesses and markets.

Keeping Humans at the Centre of Technology

For a research business, speed creates an inherent tension. Markets can change within minutes; credible analysis cannot always be produced at the same pace. EquityPro manages this through crossfunctional squads rather than rigid departmental silos. Research analysts, technology specialists and content professionals work together, allowing an analytical finding to move more efficiently from raw information to interpretation and digital presentation. Its decision-making follows a similar separation. Teams have autonomy over time-sensitive operational and content decisions, while fundamental research methodologies and compliance frameworks remain subject to centralised scrutiny.

The distinction becomes even more significant with AI. EquityPro does not intend to use technology as a substitute for research judgement. AI and automation are instead directed towards repetitive processes, data synthesis and workflow efficiency, freeing analysts to spend more time asking the questions that machines cannot responsibly settle on their own.

As the Founder puts it through his leadership philosophy, 'Empower through objectivity, lead through mentorship.' The same principle shapes team development: analysts are expected to move beyond mechanically processing numbers and develop the independence to question assumptions and form defensible conclusions.

Choosing Verification Over Velocity

Perhaps the hardest test of that philosophy arrives when markets become volatile. A rumour can travel faster than a verified disclosure, while the pressure to publish an immediate view can be commercially tempting.

“EquityPro has consciously built against that pressure. Its data-cleansing processes crosscheck market information and financial metrics against multiple verified sources before they are incorporated into research. It also differentiates between information at different stages of verification rather than presenting every development with equal conviction”, speaks Ritesh Gokani, Founder & Managing Director.

This restraint is central to its positioning. In a market environment where attention can be won through dramatic predictions, EquityPro is seeking to build trust by doing almost the opposite - providing context before conclusion and favouring evidence over excitement.

From Research Platform to Financial-Learning Ecosystem

The next phase of EquityPro is intended to take this philosophy to a larger audience. RGX Research plans to deepen its use of AI-enabled analytics and alternative data, while developing more interactive digital products capable of making sophisticated research easier to navigate.

Investor education will remain equally important. “The ambition is to take users beyond knowing financial terminology towards understanding industries, evaluating businesses and interpreting valuations independently. Expansion will also focus on reaching investor groups that remain underserved by conventional research products”, says Ritesh Gokani.

For EquityPro, therefore, the opportunity created by AI is not merely faster analysis. It is the ability to process an expanding universe of information while preserving the human judgement required to decide what deserves attention. That distinction could become increasingly valuable as financial information becomes almost limitless. EquityPro is betting that the scarce commodity in tomorrow’s market will not be data, but clarity - and it wants to build its business around delivering exactly that.